Factors associated with driving under the influence of alcohol

Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers.

Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI).

Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI.

Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy.     

大气CO2浓度升高对农田生态系统的影响

自由大气CO2浓度升高(简称FACE,即Free A ir CO2Enrichment)对陆地生态系统的影响是全球变化研究中的一个热点。综述了FACE条件下,农田土壤植物生物量质量变化和土壤微生物对植物的反馈作用,以及土壤痕量气体排放的趋势变化。     

燃煤电厂烟气脱硫技术及其主要工艺

简要介绍了我国二氧化硫的排放及其污染现状、燃煤电厂湿法、半干法、干法、可回收工艺和联合SO2／NOx工艺等五类烟气脱硫（FGD）技术及其主要的工艺，并对我国烟气脱硫技术的发展进行了探讨，指出我国烟气脱硫技术的发展应走国产化的道路，在具体的脱硫工艺的选择上应具体问题具体分析。     

大王滩水库秋季浮游植物分布初探

2011年秋季对大王滩水库开展了藻类采样监测,分别从藻类定性和定量分析入手,分析了种类组成与数量的分布特征,并进行了富营养化评价。监测表明秋季大王滩水库主要是蓝藻门的细鞘丝藻占优势。垂直分布上,表层浮游植物密度大大高于底层密度,从藻类生物量看和从优势种看,大王滩水库秋季可判定为富营养状态。     

煤矿开采区地下水环境影响评价方法与治理研究

针对煤矿开采对地下水污染的问题,首先分析了煤矿开采对地下水污染的影响因素,然后通过对研究区域地下水污染物组分的分析,考虑各种评价方法的优缺点,采用模糊综合评判法,对煤炭开采对地下水的污染做出了比较合乎实际的评价。最后,对防治煤矿开采对地下水污染工作提出一些建议。     

Malondialdehyde concentrations in the intestine and gills of Vardar chub (Squalius vardarensis Karaman) as indicator of lipid peroxidation

Environmental Science and Pollution Research - A lipid peroxidation product, malondialdehyde (MDA), was studied in Vardar chub (Squalius vardarensis Karaman) as an indicator of oxidative stress,...     

湖滨湿地恢复方案研究综述

在查阅国内外湖滨湿地恢复资料的基础上,以恢复湿地水质净化和野生动物栖息地功能为双重目的,整理形成了适用于我国富营养湖泊湖滨湿地的恢复方案,从恢复湿地的设计、恢复的前期处理、恢复过程中的植物种植与管理、恢复后的维护管理和生态监测等5个阶段进行了恢复技术的综述与探讨。     

ASTAR IR-200红外三波数测油仪自校方法

针对ASTAR IR-200红外三波数测油仪,提出仪器的自校方法。     

乡镇居民对突发公共卫生事件及常见传染病的认知与健康需求

为了解乡镇居民对突发公共卫生事件及常见传染病的关注度和认知水平,并分析其健康教育的需求和培训方式。随机抽取陕西省某市某镇5个行政村650名居民进行问卷调查,了解居民对突发公共卫生事件及常见传染病的认知与需求,并对结果进行统计学分析。研究结果表明,乡镇居民对突发公共卫生事件及常见传染病的关注度普遍较高（平均得分9.01±0.25分）,而认知水平较低（平均得分5.03±0.33）,其关注度和认知水平均与学历、职业和月收入有关。低学历组、低收入组和在家务农以及偶而外出打工的居民,关注度较高但认知水平较低,高学历组、高收入组和常年在外打工和有固定工作单位的居民,关注度和认知水平均较高。绝大多数乡镇居民十分愿意深入了解突发公共卫生事件及常见传染病的相关知识,其培训方式需求依次为手机短信和微信推送、设置宣传栏和发放宣传单、专家当面讲授、专家义诊咨询。建议对低学历、低收入和常年在家务农以及偶尔外出打工的人群进行相关知识的宣教。